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DOI Prefix: 10.47001/IRJIET

Predicting Future Total Fertility Rates for Haiti Using Artificial Neural Networks

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweTatenda. A. CHIHOHOIndependent Health Economist, ZimbabweThabani NYONISAGIT Innovation Center, Harare, Zimbabwe

Vol 5 No 8 (2021): Volume 5, Issue 8, August 2021 | Pages: 302-306

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 17-09-2021

doi Logo doi.org/10.47001/IRJIET/2021.508066

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Abstract
This study intended to predict future total fertility rates (TFRs) for Haiti from 2019 to 2030 using Artificial Neural Networks. Data on Haiti’s TFRs from 1960 to 2018 which was obtained from the World Bank Online database was used. The future TFRs are predicted to fall throughout the out of sample period from 3.1 in 2019 to 2.9 in 2030.
Keywords

ANN, Forecasting, Total fertility rate (TFR).


Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Predicting Future Total Fertility Rates for Haiti Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 302-306, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508066

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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